Radu Dogaru

1.2k total citations
116 papers, 845 citations indexed

About

Radu Dogaru is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Radu Dogaru has authored 116 papers receiving a total of 845 indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Artificial Intelligence, 44 papers in Computational Theory and Mathematics and 42 papers in Computer Networks and Communications. Recurrent topics in Radu Dogaru's work include Neural Networks and Applications (44 papers), Cellular Automata and Applications (40 papers) and Neural Networks Stability and Synchronization (33 papers). Radu Dogaru is often cited by papers focused on Neural Networks and Applications (44 papers), Cellular Automata and Applications (40 papers) and Neural Networks Stability and Synchronization (33 papers). Radu Dogaru collaborates with scholars based in Romania, United States and Germany. Radu Dogaru's co-authors include Leon O. Chua, P. Julián, Manfred Glesner, Sook Yoon, M. Hänggi, Hyongsuk Kim, K.R. Crounse, Laura Florea, Makoto Itoh and Corneliu Florea and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, International Journal of Bifurcation and Chaos and International Journal of Intelligent Systems.

In The Last Decade

Radu Dogaru

105 papers receiving 785 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Radu Dogaru Romania	15	376	301	268	240	160	116	845
Yoshifumi Nishio Japan	16	469 1.2×	278 0.9×	135 0.5×	310 1.3×	442 2.8×	329	1.1k
Teijiro Isokawa Japan	14	343 0.9×	560 1.9×	152 0.6×	216 0.9×	78 0.5×	109	931
Amin Karbasi United States	17	330 0.9×	513 1.7×	280 1.0×	139 0.6×	53 0.3×	80	1.1k
Ferdinand Peper Japan	15	257 0.7×	305 1.0×	375 1.4×	353 1.5×	51 0.3×	99	977
Li Xiong China	16	264 0.7×	211 0.7×	122 0.5×	349 1.5×	598 3.7×	50	1.1k
Krishna V. Palem United States	27	618 1.6×	375 1.2×	292 1.1×	1.2k 5.0×	86 0.5×	105	2.2k
Xiaofeng Liao China	14	488 1.3×	154 0.5×	114 0.4×	107 0.4×	312 1.9×	29	891
Paul Cuff United States	16	386 1.0×	336 1.1×	127 0.5×	636 2.6×	62 0.4×	48	1.0k
Wenjiang Pei China	15	233 0.6×	168 0.6×	67 0.3×	223 0.9×	275 1.7×	109	839
P. Julián Argentina	17	169 0.4×	212 0.7×	109 0.4×	381 1.6×	125 0.8×	96	1.0k

Countries citing papers authored by Radu Dogaru

Since Specialization

Citations

This map shows the geographic impact of Radu Dogaru's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Radu Dogaru with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Radu Dogaru more than expected).

Fields of papers citing papers by Radu Dogaru

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Radu Dogaru. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Radu Dogaru. The network helps show where Radu Dogaru may publish in the future.

Co-authorship network of co-authors of Radu Dogaru

This figure shows the co-authorship network connecting the top 25 collaborators of Radu Dogaru. A scholar is included among the top collaborators of Radu Dogaru based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Radu Dogaru. Radu Dogaru is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Dogaru, Radu, et al.. (2024). VRES-CNN: A Tiny Convolutional Image Classifier with Versatile Choice of Hyperparameters. 1–6. 2 indexed citations

Dogaru, Radu, et al.. (2023). XNL-CNN: An Improved Version Of The NL-CNN Model, For Running With TPU Accelerators And Large Image Datasets. 168–171. 1 indexed citations

Dogaru, Radu, et al.. (2023). V-CNN: A Versatile Light CNN Structure For Image Recognition On Resources Constrained Platforms. 1 indexed citations

Dogaru, Radu, et al.. (2022). State of the Art Recognition of Emotions from Speech, Using a Low Complexity Solution Based on Reaction-Diffusion Transform. 1–4.

Dogaru, Radu, et al.. (2020). Improving Light-weight Convolutional Neural Networks for Face Recognition Targeting Resource Constrained Platforms.. The European Symposium on Artificial Neural Networks. 199–204. 1 indexed citations

Dogaru, Radu, et al.. (2020). Disease detection on medical images using light-weight Convolutional Neural Networks for resource constrained platforms. 1–4. 3 indexed citations

Dogaru, Radu, et al.. (2019). BCONV - ELM: Binary Weights Convolutional Neural Network Simulator based on Keras/Tensorflow, for Low Complexity Implementations. 1–6. 8 indexed citations

Dogaru, Radu, et al.. (2016). An efficient local receptive field feature extractor for handwriting recognition. 28. 105–108.

Dogaru, Radu, et al.. (2015). Using Python and Julia for Efficient Implementation of Natural Computing and Complexity Related Algorithms. 599–604. 4 indexed citations

10.

Dogaru, Radu, et al.. (2015). A Low Cost High Performance Computing Platform for Cellular Nonlinear Networks Using Python for CUDA. 593–598. 6 indexed citations

11.

Dogaru, Radu, et al.. (2011). Efficient realizations of a sound propagation processor as a cellular nonlinear network. 1–4. 3 indexed citations

12.

Dogaru, Radu, et al.. (2010). An efficient sound propagation software simulator based on cellular automata. 95. 273–276. 3 indexed citations

13.

Dogaru, Radu, et al.. (2009). BINARY CHAOS SYNCHRONIZATION IN ELEMENTARY CELLULAR AUTOMATA. International Journal of Bifurcation and Chaos. 19(9). 2871–2884. 14 indexed citations

14.

Dogaru, Radu. (2008). Systematic Design for Emergence in Cellular Nonlinear Networks. Studies in computational intelligence. 18 indexed citations

15.

Dogaru, Radu. (2003). Universality and Emergent Computation in Cellular Neural Networks (World Scientific Series on Nonlinear Science, Series a, 43). 11 indexed citations

16.

Dogaru, Radu. (2003). Universality and Emergent Computation in Cellular Neural Networks. 19 indexed citations

17.

Dogaru, Radu, et al.. (2002). Chains of discrete-time chaotic neural networks for generation of broadband signals with applications in improved ciphering systems. 2. 635–637. 3 indexed citations

18.

Julián, P., Radu Dogaru, & Leon O. Chua. (2002). A piecewise-linear simplicial coupling cell for CNN gray-level image processing. IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications. 49(7). 904–913. 40 indexed citations

19.

Julián, P., Radu Dogaru, & Leon O. Chua. (2002). A piecewise-linear simplicial coupling cell for CNN gray-level image processing. 2. 109–112. 2 indexed citations

20.

Dogaru, Radu, et al.. (1996). Fast signal recognition and detection using ART1 neural networks and nonlinear preprocessing units based on time delay embeddings.. The European Symposium on Artificial Neural Networks. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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